---
title: "Advanced Dashboarding"
output: 
  flexdashboard::flex_dashboard:
    orientation: row
    vertical_layout: fill
    social: ['menu']
    source_code: embed
    theme: 
      version: 4
      bootswatch: sandstone
---

```{r setup, include=FALSE}
library(flexdashboard)
library(tidyverse)
library(palmerpenguins)
library(plotly)
library(DT)
library(fontawesome)

data('penguins')
```

Plots {data-navmenu='Pages'}
=======================================================================

Sidebar {.sidebar}
-----------------------------------------------------------------------

### Penguin Stats

The number of penguins in the data is `r nrow(penguins)` 

Row 
-----------------------------------------------------------------------

### Number of Penguins

```{r}
valueBox(nrow(penguins), icon = 'fa-linux')
```


Column {.tabset}
-----------------------------------------------------------------------

### Scatter plot of bill length vs bill depth

```{r}
a <- penguins %>% ggplot(aes(x = bill_length_mm, y = bill_depth_mm, color = species)) +
  geom_point()

ggplotly(a)
```



### Chart B

```{r}
penguins %>% ggplot(aes(x = body_mass_g, y = sex, fill = sex)) +
  geom_boxplot()
```

### Chart C

```{r}
penguins %>% ggplot(aes(x = flipper_length_mm, fill = species)) +
  geom_histogram() +
  facet_wrap(~species)
```

Data {data-navmenu='Pages'}
=======================================================================

```{r}
penguins %>% datatable(extensions = 'Buttons',
                       options = list(dom = 'Blfrtip', 
                                      buttons = c('copy', 'csv', 'excel', 'pdf', 
                                                  'print')))
```